Extended structures of mediation: Re-examining brokerage in dynamic networks

In this paper we revisit the concept of brokerage in social networks. We elaborate on the concept of brokerage as a process, identifying three distinct classes of brokerage behavior. Based on this process model, we develop a framework for measuring brokerage opportunities in dynamic relational data. Using data on emergent inter-organizational collaborations, we employ the dynamic brokerage framework to examine the relationship between organizational attributes and coordination in the evolving network. Comparing the findings of our process-based definition with traditional, static approaches, we identify important dimensions of organizational action that would be missed by the latter approach.     

The Industry of Illegal Migration: Social Network Analysis of the Brazil‐US Migration System

In this article, we analyse the process of migration by applying a social network methodology. Using the personal network approach, we focus on a case study of the Brazil‐US migration system to analyse the formation of the so‐called “industry of illegal migration”. We suggest that in migration systems, brokerage evolves not only because of historical and cultural changes, but also because the changes emerge within a structured environment in which brokerage can thrive, and this, in turn, causes the social networks to support and produce specialized actors (individuals and organizations) embedded in the “right positions” of the social structure in the migration process. In this particular case study, we suggest that brokerage seems to take place through gender‐oriented networks and the personal experience and structural power of returned migrants. These returned migrants usually have more varied social contacts and types of relationships from which they can obtain richer information about the migration system.     

When is brokerage negatively associated with economic benefits? Ethnic diversity,competition, and common-pool resources

There is a growing body of literature positively linking dimensions of social capital to economic benefits. Yet recent research also points to a potential “dark side” of social capital, where over-embeddedness in networks and the pressures associated with brokerage are hypothesized to constrain actors, having a negative effect on economic outcomes. This dichotomy suggests that context is important, yet the overwhelming majority of existing empirical evidence stems from socially homogenous populations in corporate and organizational settings, limiting a broader understanding of when and how context matters. We advance this discourse to a socially fragmented, ethnically diverse common-pool resource system where information is highly valuable and competition is fierce. Merging several unique datasets from Hawaii's pelagic tuna fishery, we find that network prominence, i.e., being well connected locally, has a significant, positive effect on economic productivity. In contrast, we find that brokerage, defined here as ties that bridge either structurally distinct or ethnically distinct groups, has a significant, negative effect. Taken together, our results provide empirical support to widespread claims of the value of information access in common-pool resource systems, yet suggest that in ethnically diverse, competitive environments, brokers may be penalized for sharing information across social divides. Our results thus contribute to an emerging theory on the fragile nature of brokerage that recognizes its potential perils and the importance of context.     

Information communities: The network structure of communication

This study puts forward a variable clique overlap model for identifying information communities, or potentially overlapping subgroups of network actors among whom reinforced independent links ensure efficient communication. We posit that the average intensity of communication between related individuals in information communities is greater than in other areas of the network. Empirical tests show that the variable clique overlap model is indeed more effective in identifying groups of individuals that have strong internal relationships in communication networks relative to prior cohesive subgroup models; the pathways generated by such an arrangement of connections are particularly robust against disruptions of information transmission. Our findings extend the scope of network closure effects proposed by other researchers working with communication networks using social network methods and approaches, a tradition which emphasizes ties between organizations, groups, individuals, and the external environment.     

International doctoral students as knowledge brokers: reciprocity,trust and solidarity in transnational networks

In this article, we examine the role of brokerage, the knowledge that brokers transfer and the social conditions of that transfer. Previous research suggests that highly skilled migrants spanning multiple locales have the advantage of being able to transfer knowledge as they move from one place to another. In this study, using a network perspective, we look at the activities of international doctoral students in their transfer of knowledge and illustrate the underlying social conditions of knowledge transfer through transnational friendship networks. Using a qualitative methodology, we examine the research questions and 35 in‐depth interviews, as well as egocentric network analysis conducted in Germany. In the findings, we explore the social conditions of knowledge brokerage, including trust, reciprocity and solidarity. Finally, we discuss the implications for further research on knowledge sharing among brokers and international students.     

The motivational foundation of social networks

The origins of motivations for network behavior are found in modern theories of early childhood development. There are two types of early motivations: safety on the one hand and efficacy on the other. Safety corresponds to and is generated by networks of cohesion, while efficacy comes about from separation and corresponds to networks with structural holes and is typical of brokerage situations. Both cohesion and brokerage are necessarily involved in any network situation as a matter of fundamental theoretical necessity, but they occur under different circumstances in individual and organizational action. Studies are reviewed that show that effective relations both within and between organizations require both cohesive bases and brokerage between otherwise not well connected units.     

Bridging,brokerage and betweenness

Valente and Fujimoto (2010) proposed a measure of brokerage in networks based on Granovetter's classic work on the strength of weak ties. Their paper identified the need for finding node-based measures of brokerage that consider the entire network structure, not just a node's local environment. The measures they propose, aggregating the average change in cohesion for a node's links, has several limitations. In this paper we review their method and show how the idea can be modified by using betweenness centrality as an underpinning concept. We explore the properties of the new method and provide point, normalized, and network level variations. This new approach has two advantages, first it provides a more robust means to normalize the measure to control for network size, and second, the modified measure is computationally less demanding making it applicable to larger networks.     

Heating up the debate? Measuring fragmentation and polarisation in a German climate change hyperlink network

Research into polarisation on the internet has so far primarily focused on contentious issues and yielded contradictory results. Shifting the focus to a non-contentious setting, this article combines community detection with brokerage analysis and exponential random graph models to assess the degree of polarisation at different levels of a German hyperlink network on climate change. Although homophily accounts for a moderate degree of polarisation at the top level of the network, the communities reveal that other factors prove more decisive in shaping its structure and the article thus contributes to a more refined understanding of the nature of online polarisation.     

Informationsüberlastung bei digitaler Zusammenarbeit – Ursachen,Folgen und Interventionsmöglichkeiten

In this article in the journal Gruppe. Interaktion. Organisation (GIO) we analyze current research on influencing factors and consequences of information overload (IO) in team information exchange mediated by modern information and communication technologies (ICT). We consider, which underlying mediating mechanisms cause information overload in team information search and processing, as well as team decision making and communication information, and discuss possible interventions. We focus both on empirical research and on the differentiation between causes, resources and on team level interventions. Based on existing findings we draw implications for future research and practice. In particular we show, how leaders can avoid IO and can contribute to efficient ICT mediated team communication.     

The influence of secrecy on the communication structure of covert networks

In order to be able to devise successful strategies for destabilizing covert organizations it is vital to recognize and understand their structural properties. Every covert organization faces the constant dilemma of staying secret and ensuring the necessary coordination between its members. Using elements from multi-objective optimization and bargaining game theory we analyze which communication structures are optimal in the sense of providing a balanced tradeoff between secrecy and operational efficiency. For several different secrecy and information scenarios this tradeoff is analyzed considering the set of connected graphs of given order as possible communication structures. Assuming uniform exposure probability of individuals in the network we show that the optimal communication structure corresponds to either a network with a central individual (the star graph) or an all-to-all network (the complete graph) depending on the link detection probability, which is the probability that communication between individuals will be detected. If the probability that an individual is exposed as member of the network depends on the information hierarchy determined by the structure of the graph, the optimal communication structure corresponds to a reinforced ring or wheel graph in case of an information measure based on average performance. In worst case performance with respect to information it can be seen that windmill wing graphs approximate optimal structures. Finally we give an example how optimal structures change when considering a non-balanced tradeoff between secrecy and operational efficiency.     

Beauty and social capital: Being attractive shapes social networks

It is a fact of life that being beautiful is advantageous (Hamermesh, 2011). Whether we consider incomes or the marriage market, the more attractive one is, the better one does. Drawing on psychological research that explains why beauty pays, we hypothesize that more attractive people will exploit social network opportunities differently than less attractive people and, consequently, their networks will comprise more beneficial features. As predicted, results of an experiment showed that more attractive people were more likely to select for themselves more profitable broker positions in networks relative to other positions and relative to less attractive people. Relying on network data supplied by young professionals, in a follow-up study we found that the networks of more attractive people were relatively less dense, as the findings of Study 1 would imply. We discuss the implications for our work as well as highlight the need for further research into an understudied, but potentially influential brokerage contingency factor—physical appeal.     

The role of network setting and gender in online content popularity

In this study, we explore the role of specific network structures that enhance social capital and assess the extent to which gender, social ties, and communication interaction relate to content popularity within online social networks (OSNs). Our results are based on an extensive OSN data set, containing over 100,000 members, connected by over 1.7 million links. The findings indicate that content popularity inference is more accurate when considering activity interaction among users and that network structures known as advantageous for amassing social capital in the offline environment are relevant online as well. We conclude by discussing how gender mediates the correlation between some network measures and the growth of users’ content popularity and provide a potential explanation for the emergence of gender differences.     

Old friends and new acquaintances: Tie formation mechanisms in an interorganizational network generated by employee mobility

This study investigates mechanisms of tie formation in an interorganizational network generated by the mobility of employees between organizations. We analyze a data set that contains information on all organizations in the Stockholm metropolitan area between 1990 and 2003. We show that the formation of new ties is contingent upon the direction of past ties, and that most connections occur at an intermediate geodesic distance of 2 and 3. The findings highlight the importance of tie direction and indirect connections in research on network dynamics and knowledge exchanges stemming from the mobility of employees across organizations.     

Network brokerage and the perception of leadership

We renovate a classic experiment to define a research platform that provides data on network behavior and the causal effect of access to structural holes. Our hypothesis is that people are perceived to be leaders when they behave as network brokers, which is to say, when they coordinate information across structural holes. We focus on the perception of leadership to connect with the many field studies in which access to structural holes predicts success measures keyed to leadership. Our hypothesis is clearly supported. The broker-leader association we report is very similar in strength and form to broker-success associations reported in previous research. At the same time, it is also clear that people adapt to their randomly assigned network, re-shaping it to suit preferences that in some part emerge in team deliberations or outside the experiment. A modification to our hypothesis — at least for these small laboratory teams — is that monopoly brokerage is key to being cited as team leader. Leadership is ambiguous when multiple people are positioned to be brokers unless one person emerges by his or her network behavior as a monopoly broker. Our summary conclusion is that access to structural holes can be causal to the perception of leadership, a characteristic implicit in many success measures used to document the broker-success association.     

Evaluating heterogeneous brokerage: New conceptual and methodological approaches and their application to multi-level environmental governance networks

We present two new approaches for assessing the relative contributions of different types of actors to heterogeneous brokerage in networks. These approaches distinguish between the tendency of certain types of actors to (1) mediate between dissimilar actors (heterogeneous brokerage “activity”), and (2) be the sole mediators between dissimilar actors (“exclusivity”). We present methods for implementing these approaches, using baseline models of tie formation and node removal, respectively. To illustrate the value of both approaches, independently and in combination, we apply them to evaluate horizontal and vertical heterogeneous brokerage in two environmental governance networks. Our analysis reveals certain types of actors with high heterogeneous brokerage activity but low exclusivity (and vice versa), which has important implications for governance processes and outcomes. Likewise, results show many similarities across the evaluated networks, but also some notable differences, suggesting that the incentives and constraints for heterogeneous brokerage vary not only by actor type, but also by network-level contextual differences.     

Implications of urbanism for the use of local news media: effects of population concentration on types of news acquisition in Japan

The Internet, a global computer network enabling people to send and receive information anywhere in the world, also functions as a local medium of communication. This study focuses on the role of the Internet in transmitting local news and examines the effects of community population concentrations as socio-ecological environments on the use of local news media consumed online and offline. Data from 1367 respondents across 156 Japanese communities were used to analyze the relationships between type of community and type of news source. The findings suggest that people who live in highly populated communities tend more often to use the Internet to access local news, whereas those in less populated communities tend to use more traditional mass media. However, the results of this study did not show a relationship between population concentrations within communities and the acquisition of international news, nor did the social features of residents adequately explain the effects of population concentration on the acquisition of local news. These results are consistent with theoretical predictions based on network externalities, urbanism, and collective action. The findings indicate that local news consumption is embedded in local social contexts in a way that international news is not, reinforcing the importance of urbanism in the information age.     

Assessing the bias in samples of large online networks

We consider the sampling bias introduced in the study of online networks when collecting data through publicly available APIs (application programming interfaces). We assess differences between three samples of Twitter activity; the empirical context is given by political protests taking place in May 2012. We track online communication around these protests for the period of one month, and reconstruct the network of mentions and re-tweets according to the search and the streaming APIs, and to different filtering parameters. We find that smaller samples do not offer an accurate picture of peripheral activity; we also find that the bias is greater for the network of mentions, partly because of the higher influence of snowballing in identifying relevant nodes. We discuss the implications of this bias for the study of diffusion dynamics and political communication through social media, and advocate the need for more uniform sampling procedures to study online communication.     

Pacification of Rio's Favelas and the “Pacification of the Pacification Police”: The Role of Coordinating Brokerage in Police Reform

Rio de Janeiro's drug dealer–dominated favelas are territories where the state lacks the monopoly of violence. They have historically been sites of sporadic and violent police operations. Rio's favela “pacification” program aimed to consolidate state control via the establishment of a Pacification Police Unit (UPP). This proximity policing program initially experienced mixed results in different “pacified” favelas. I take advantage of this state intervention at the urban margins to ask, what explains the positive reception of this policing initiative in some communities but not others? I concentrate my fieldwork in two communities sharing a UPP that represented extreme cases of success in terms of the program's reception by residents. I find that the coordinating brokerage of respected local organizations helps acculturate police to the community and minimize offensive police behavior, thereby “pacifying the Pacification Police.” Residents are receptive to these resocialized police who comply with local norms of respect. This police‐reforming brokerage is possible due to the high level of closure in the local network and due to a vibrant local community with a strong history of organizing. My findings emphasize the importance of considering the role of local civil society in police reform at the urban margins.     

Implications of Collection of Excessive Brokerage Fees for Migrant Workers in the Domestic Care Sector in Israel

This research examines the implications of excessive brokerage fees collection for migrant workers in the domestic care sector in Israel. The findings reveal that migrant workers are forced to pay much higher brokerage fees than is permitted by Israeli law. These fees are are mainly financed by loans. Thus, workers are forced to devote a significant portion of their monthly income in Israel to repaying these loans. The research also examines the possibility of reducing the collection of excessive brokerage fees by signing bilateral agreements, with the countries of origin, which allow the state to supervise the recruitment process. Such agreements have already been implemented in the construction and agriculture sectors in Israel. The first agreement in the domestic care sector, signed in September 2018 with the Philippines, will apparently be implemented in the near future, and might solve some of the problematic issues addressed in this research.     

Mutual brokerage and women’s participation in nineteenth-century Anglo-American abolitionist movements

The following article traces the tactical co-development as a process within ‘mutual brokerage’ between Anglo-American abolitionists. In the case of the Anglo-American abolitionist network of the early nineteenth century, the co-production of so-called ‘world conventions’ brought together an international network of abolitionist actors tied to one another through previous fora for discussion and debate. Mutual brokerage is perhaps most clearly seen within the example of female abolitionists during the nineteenth-century abolition campaigns. Women brought to the Anglo-American abolitionism the co-development of tactics through writings, planning, meetings, speeches, and petition writing. The article argues for a dialogical account regarding the spread of ideas and a reexamination of the role of brokerage within tactical diffusion. The writings and in-person debate about the ethical and moral concerns of the movement were channels through which ideas flowed. Instead of a one-directional flow with brokers as translators bringing new tactics from one locale to another, the channels were characterized by the absence of earlier ‘originators’ and later ‘adopters’ – traditional categories assigned to actors within the diffusion process. Rather, the article posits that the channels of transmission shaped the spread of ideas and subverted the traditional categories of ‘transmitters’ and ‘receivers’ found in more monological accounts of diffusion.